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Factors affecting tertiary education decisions of immigrants in Italy

  • Michele Lalla
  • Patrizio Frederic

To identify the determinants of the choices of young Italian natives and immigrants with respect to tertiary education, two datasets for 2009 were used: European Union Statistics on Income and Living Conditions (EU-SILC) and the Italian Survey on Income and Living Conditions of Families with Immigrants in Italy (IT-SILCFI). A sub-sample of young Italians and immigrants between 20 and 25 years of age was set up, containing individual, family, and contextual explanatory variables. Their effects on the choice of tertiary schooling (yes/no) was assessed using an ordinary logistic model and a Lasso method to determine the explanatory set variables through a Bayesian approach. The transition from high school to university showed a complex pattern involving many variables: compared to men, women were twice as likely to continue their education, many components of income entered the model in a parabolic form, education level and income of parents proved to be very important, as was their occupation. The contextual factors revealed their importance: the latter included the degree of urbanisation, the South macro-region, household tenure status, the amount of optional technological equipment, and so on. Differences between Italians and immigrants disappeared when family background and parental characteristics were taken into account.

  • Keywords:
  • High school-to-university transition,
  • school-to-work transition,
  • educational inequality,
  • Lasso method,
  • educational territorial pattern,
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Michele Lalla

University of Modena and Reggio Emilia, Italy - ORCID: 0000-0002-1639-7300

Patrizio Frederic

University of Modena and Reggio Emilia, Italy - ORCID: 0000-0001-9073-2878

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  • Publication Year: 2023
  • Pages: 181-186
  • Content License: CC BY 4.0
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  • Publication Year: 2023
  • Content License: CC BY 4.0
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Chapter Information

Chapter Title

Factors affecting tertiary education decisions of immigrants in Italy

Authors

Michele Lalla, Patrizio Frederic

Language

English

DOI

10.36253/979-12-215-0106-3.32

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

ASA 2022 Data-Driven Decision Making

Book Subtitle

Book of short papers

Editors

Enrico di Bella, Luigi Fabbris, Corrado Lagazio

Peer Reviewed

Publication Year

2023

Copyright Information

© 2023 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press, Genova University Press

DOI

10.36253/979-12-215-0106-3

eISBN (pdf)

979-12-215-0106-3

eISBN (xml)

979-12-215-0107-0

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

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